一类模型不确定闭环非线性控制系统的故障诊断研究及应用验证

项目名称： 一类模型不确定闭环非线性控制系统的故障诊断研究及应用验证

项目编号： No.61333005

项目类型： 重点项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 钟麦英

作者单位： 山东科技大学

项目金额： 300万元

中文摘要： 工程系统复杂性和不确定性快速增加，模型不确定性、非线性、多变量强耦合等显著呈现，闭环运行情况下控制系统故障诊断面临故障广泛传播与复杂演化以及故障模式快速增长等挑战性问题。本项目针对一类模型不确定闭环非线性控制系统故障诊断，系统地开展故障建模与故障诊断创新理论方法研究与应用验证。挖掘闭环运行情况下表征故障动态行为的特征向量，建立故障模型与开环被控过程参数之间映射关系；提出基于Krein空间的强跟踪故障估计方法，解决一类模型不确定性闭环非线性控制系统高精度故障估计问题；研究基于模型匹配的残差产生器与反馈控制器多目标优化设计，提出解决故障诊断鲁棒性以及鲁棒约束下故障检测正确性的方法；在基于闭环反馈控制器性能评估框架下，创立适用于闭环非线性控制系统微小故障检测的新方法。本项目将致力于取得国际领先的系统性故障诊断研究成果并在实际无人机实验平台上应用验证，为闭环工程系统安全运行提供理论依据和技术支撑。

中文关键词： 闭环控制系统;非线性系统;模型不确定性;故障建模;故障诊断

英文摘要： With the increasing of system complexity and uncertainty, more and more practical engineering plants are modeled as nonlinear closed-loop systems with model uncertainties. A fault in a closed-loop system may transfer from one point to another and the relationship between fault, input, and output are complex. Also, the modes of fault grow fast for high dimension systems. As a result, fault diagnosis for uncertain nonlinear closed-loop systems is becoming a challenging problem to be solved, which concerns with the issues of fault modeling, the robustness of fault detection, and the accuracy of fault estimation. The quantitative relationship between fault model and open-loop plant parameters will be established and, based on this, novel approaches to fault modeling and fault diagnosis will be developed for a class of uncertain nonlinear closed-loop systems. A strong tracking filter in Krein space will be developed to estimate fault of uncertain nonlinear closed-loop systems. To simultaneously deal with the problems of robustness of residual to uncertainty, the sensitivity to fault and the closed-loop system control performance, an integration of residual generator and feedback controller will be designed by applying model matching and multi-objective optimization methods. A new control performance based fault detection strategy will be explored to deal with the issues of incipient small fault detection. Computer simulations, physical platform experiments, as well as actual flight experiments will be carried out via autonomous aircrafts. Through this project, both theoretical breakthrough and technical improvement of fault diagnosis will be achieved and some of the results should provide strong support to guarantee the safety of practical closed-loop control engineering systems.

英文关键词： closed-loop control system;nonlinear system;model uncertainty;fault modeling;fault diagnosis